What is better GiniMachine or scikit-learn? If you want to get a convenient way to decide which AI Software product is better, our unique method gives GiniMachine a score of 8.0 and scikit-learn a score of 8.9 for all round quality and performance. Moreover, GiniMachine is rated at 100%, while scikit-learn is rated 100% for their user satisfaction level.
You can also compare their product details, such as functions, tools, options, plans, costs, and others. Check if the software lets you to customize some of its workflows to ensure the software fits your own business processes.
Currently, the leading services in our AI Software category are: Azure Machine Learning Studio, Salesforce Einstein, Google Vertex AI.
GiniMachine doesn’t need to be integrated with third-party applications. Data of various formats can be upload to the software using a web browser.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
NEO Finance, MobiCom, Zenziya
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
GiniMachine is a data analytics software that aids banks and financial institutions to make informed decisions, reduce lending risks, and improve customer experiences.
scikit-learn provides documentation for the use of its API if you want to integrate your app. No other integration information is provided.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Spotify, Inria, Evernote
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
email
phone
live support
training
tickets
General Info
A free-to-use machine learning module for Python built on SciPy. This AI platform is capable of creating neuroimages, predicting consumer behavior, detecting abusive actions in the web, and more. It is also released with a BSD license which means individuals and businesses can utilize scikit-learn for personal and commercial purposes.
In case you are still having second thoughts about which app will work best for your business it may be a sensible idea to examine each service’s social metrics. Such metrics are frequently a sign of how popular each app is and how wide is its online presence.For instance, if you analyze GiniMachine LinkedIn account you’ll find out that they are followed by 354 people. In case of scikit-learn the volume of followers on their LinkedIn page is 288.
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